Simultaneous and Heterogenous Multithreading
Kuan-Chieh Hsu, Hung-Wei Tseng
2023Year
5Citations
4Top-tier citations
Abstract
The landscape of modern computers is undoubtedly heterogeneous, as all computing platforms integrate multiple types of processing units and hardware accelerators. However, the entrenched programming models focus on using only the most efficient processing units for each code region, underutilizing the processing power within heterogeneous computers.
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Cited by top-tier papers4
- Fast On-device LLM Inference with NPUsDaliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu et al.ASPLOS 2025 · 38 citations
- HotTiles: Accelerating SpMM with Heterogeneous Accelerator ArchitecturesGerasimos Gerogiannis, Sriram Aananthakrishnan, Josep Torrellas, Ibrahim HurHPCA 2024 · 19 citations
- HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU CoresZhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao et al.ICDE 2025 · 5 citations
- Characterizing Mobile SoC for Accelerating Heterogeneous LLM InferenceLe Chen, Dahu Feng, Erhu Feng, Yingrui Wang et al.SOSP 2025 · 3 citations
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